Triple

T16591282
Position Surface form Disambiguated ID Type / Status
Subject Braamfontein Spruit E403091 entity
Predicate flowsThrough P225 FINISHED
Object Rivonia E877377 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rivonia | Statement: [Braamfontein Spruit, flowsThrough, Rivonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rivonia
Context triple: [Braamfontein Spruit, flowsThrough, Rivonia]
  • A. Rivonia chosen
    Rivonia is a suburb of Johannesburg, South Africa, known for its role in the anti-apartheid struggle and as the site of the historic Rivonia Trial arrests.
  • B. Soweto
    Soweto is a historically significant township in Johannesburg, South Africa, known for its central role in the struggle against apartheid and its rich urban culture.
  • C. Diepsloot
    Diepsloot is a densely populated township in the north of Johannesburg, South Africa, known for its informal settlements and rapid urban growth.
  • D. Bothasig
    Bothasig is a residential suburb in the northern part of Cape Town, South Africa.
  • E. Fort de Kock
    Fort de Kock is a former Dutch colonial garrison town in West Sumatra, Indonesia, now known as Bukittinggi, noted for its historical hilltop fort and role in Minangkabau history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e359a012e081909a0604dde3c04bbb completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759b9e5081909815d2cd00d44490 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:16 a.m.